Nowadays, with the expansion of economic businesses and also the dependency of economic activ-ists on the insurance industry to provide the capitals security, there is now a growing need to identi-fy and evaluate risks of the insurance industry. Therefore, in this study, a comprehensive model was developed to evaluate and manage business risk by reviewing the research literature, extensive-ly. For this purpose, an adaptive neuro-fuzzy inference system (ANFIS) was developed for every business risk after identifying the relevant dimensions and the criteria and collecting the necessary data from the central insurance databases. Finally, a general model was presented to evaluate and manage risks of the insurance industry. Four major problems were also considered: optimal and ef-ficient normalization, optimal training for testing ratio for every neural network, model validation, and the easiness of user communication with the system. The results show that the model can pro-vide an accurate estimation for risk evaluation and management. Thus, this system can be consid-ered as an appropriate tool for business risk evaluation and management of insurance companies. Furthermore, the effectiveness of this method in evaluating and managing the risk at insurance companies can be turned into a neural network and such a neural network can be used as an appro-priate decision-making support tool.

An increased sense of job performance and better job satisfaction can be achieved by receiving social support. In order to fulfil this purpose, this study aimed to determine the relationship between social support on the one hand and job performance and job satisfaction on the other hand for the Jordanian insurance industry employees. Survey data were gathered from 269 employees from the Jordanian insurance industry. The PLS 3.0 software was used to process data using the structural equation modelling method. The study’s findings revealed that all social support factors were positively and significantly related to job performance and job satisfaction, including manager support, peer support, friends support, and others’ support. Hence, job performance and job satisfaction in the Jordanian insurance industry can be predicted by studying the existence of social support. The study’s findings concluded that the higher the social support, the higher the job performance and job satisfaction.

Although job stress has become an issue of great concern over the last decades both internationally and nationally, there still remains a paucity of research in the Ghanaian insurance industry. This study therefore examined the relationship between antecedent variables (work overload, role conflict and role ambiguity) and employee job stress in the insurance industry in Ghana. Using a descriptive cross-sectional design with a survey questionnaire, 212 employees were selected to participate in the study. Pearson correlation and a two-step hierarchical regression were used to test the proposed hypotheses. Results of the analysis revealed that work overload and role conflict rather than role ambiguity were positively related to job stress. Implications for theory and practice are later discussed in the study.

Measuring the relative efficiency in insurance industry plays essential role for productivity improvement in insurance industry. In this paper, we present an empirical investigation to measure the relative efficiency of some insurance firms listed on Tehran Stock Exchange using data envelopment analysis (DEA) over the period 2011-2013. The proposed study of this paper uses four inputs namely; total assets, price to earnings ratio, beta and sigma and four outputs namely; net earnings, one-year, two-year and three-year returns. The study uses two methods of input and output oriented DEA to measures the relative efficiencies of 9 banks and the results indicate that most insurance firms perform well in terms of efficiency.

Nowadays, many organizations focus on discovering their customers’ hidden patterns to maintain their competitive position through customer analysis. In fact, more and more organizations are realizing that customers are their most valuable resources. This paper performs a research using data associated with 300 clients of an insurance company in city of Anzali, Iran and they are analyzed using K-Means clustering method. Using demographic variables including gender, age, occupation, education level, marital status, place of residence and clients’ incomes, the study determines the optimal numbers of clusters in order to achieve necessary data for grouping customers. Next, the study uses the method of association rules to find hidden patterns for the insurance industry.

This paper presents an empirical investigation to study the relationship between organization learning and organization innovation in one of Iranian insurance firm. The proposed study selects a sample of 300 employees who work for different positions for the case study of this paper and using Pearson correlation as well as Freedman tests determines the relationship and ranks different components of the survey. The results of this implementation have indicated that organization innovation influences on organizational learning, data distribution, interpretation and memory significantly but the effect of organizational innovation on data collection cannot be confirmed when the level of significance is five or even ten percent. The implementation of Freedman test has also indicated that Information interpretation is number priority followed by information learning, organizational distribution and organizational memory.

This paper presents an empirical investigation to study the effect of internet in insurance industry in Iran. The proposed study designs a questionnaire, distributes it among some experts and analyzes them based on some statistical test. The survey is conducted within insurance firms located in one of provinces of Iran. The results of the study confirm that internet influences competition among providers, bargaining power of customers as well as suppliers, significantly. In addition, internet has meaningful impacts on starting a business, the threat of substitutes, customer satisfaction, perceived image as well as perceived quality. The results of this survey emphasizes on the relative importance of internet for building a better competitive insurance industry.